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Full details of propensity score matching (including matching variables) are provided in the Technical Appendix.
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† See Additional data file 1 for additional detail of propensity score methodology.
The details of these propensity score methods are given in the Supplementary materials section.
More details of the propensity score approach are given in Appendix 2. Cost analyses were conducted from the point of view of the health care provider because treatment of patients with severe sepsis is almost exclusively dispensed by hospital services.
Additional file 1: Detailed description of propensity matching process as well as raw matching table and data.
Therefore, to address these analytic requirements, we detail the application of propensity score weighting to examine the causal effect of rectal bacterial STI on HIV acquisition [ 8].
hFor the logistic regression analysis (estimation of propensity scores), we apply a customized and truncated survey weight (for details cf. Sacchi [2011]: 44).
Figure 2. Distribution of propensity scores.
Retrospective analysis of propensity score matched (PSM) observational cohorts.
Figure 2 Histogram of propensity scores by treatment status.
Third, there are pros and cons of propensity score matching.
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